Automatic topic detection strategy for information retrieval in spoken document

2009 10th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2009

Volumn , Issue , 2009, Pages 300-303

  Jin, Shan ^a   Misra, Hemant ^b   Sikora, Thomas ^a   Jose, Joemon ^b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC MATCHING; LATENT DIRICHLET ALLOCATIONS; MATCHING ALGORITHM; MULTI-LEVEL; QUERY WORDS; SEMANTIC INFORMATION; SPOKEN DOCUMENT; SPOKEN DOCUMENT RETRIEVAL; TOPIC DETECTION;

ACOUSTICS; IMAGE ANALYSIS; INFORMATION RETRIEVAL; INFORMATION SERVICES; MULTIMEDIA SERVICES; MULTIMEDIA SYSTEMS; TELEPHONE SETS; TRANSCRIPTION;

TELEPHONE SYSTEMS;

EID: 70349282106     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIAMIS.2009.5031492     Document Type: Conference Paper

References (11)

1. B. Logan, P. Moreno, JM. van thong, and E. Whittaker, "An experimental study of an audio indexing system for the Web," in ICSLP, Beijing, China, Oct. 2000.
2. David M. Blei, Andrew Y. Ng, and Michael I. Jordan, "Latent Dirichlet allocation," in Advances in Neural Information Processing Systems (NIPS), Thomas G. Dietterich, Suzanna Becker, and Zoubin Ghahramani, Eds., Cambridge, MA, 2002, vol.14, pp. 601-608, MIT Press.
3. Thomas Hofmann, "Unsupervised learning by probabilistic latent semantic analysis," Machine Learning Journal, vol.42, no.1, pp. 177-196, 2001.
4. Thomas L. Griffiths and Mark Steyvers, "Finding scientific topics," Proceedings of the National Academy of Sciences, vol.101 (supl 1), pp. 5228-5235, 2004.
5. Aaron Heidel, Hung an Chang, and Lin shan Lee, "Language model adaptation using latent Dirichlet allocation and an efficient topic inference algorithm," in EuroSpeech, Antwerp, Belgium, 2007.
6. Dongshan Xing and Mark Girolami, "Employing latent Dirichlet allocation for fraud detection in telecommunications," Pattern Recognition Letters, vol.28, no.13, pp. 1727-1734, Oct. 2007.
7. Hemant Misra, Olivier Cappè, and Françio Yvon, "Using LDA to detect semantically incoherent documents," in CoNLL, Manchester, U.K., Aug. 2008.
8. Wray Buntine, Jaakko Löfström, Jukka Perkiö, Sami Perttu, Vladimir Poroshin, Tomi Silander, Henry Tirri, Antti Tuominen, and Ville Tuulos, "A scalable topic-based open source search engine," in IEEE/WIC/ACM International Conference on Web Intelligence, Beijing, China, 2004, pp. 228-234. (Pubitemid 40401105)
9. M. Wechsler, Spoken Document Retrieval based on Phoneme Recognition, Ph.D. thesis, Swiss Federal Institute of Technology (ETH), 1998.
10. D.D. Lewis, Y. Yang, T. Rose, and F. Li, "Rcv1: A new benchmark collection for text categorization research," Machine Learning Research, vol.5, pp. 361-397, 2004.
11. John Choi, Don Hindle, Julia Hirschberg, Ivan Magrinchagnolleau, Christine Nakatani, O Pereira, Amit Singhal, and Stev Whittaker, "An overview of the AT&T spoken document retrieval," in DARPA Broadcast News transcription and Understanding Workshop, Feb. 1998.